In the project "Reinforcement learning for efficient path planning of parallel robots when handling flexible objects", Prof. Tobias Glasmachers, Chair of Theory of Machine Learning at the Faculty of Computer Science, and Prof. Bernd Kuhlenkötter, Chair of Production Systems at the Faculty of Mechanical Engineering, are researching efficient control strategies for industrial robots. The project is funded by the DFG for three years.